Create an Emax or Imax model
emaxmodel.Rd
Use to create an Emax or Imax model
Usage
emaxmodel(
isPopulation = TRUE,
checkBaseline = FALSE,
checkFractional = FALSE,
checkInhibitory = FALSE,
checkSigmoid = FALSE,
data = NULL,
columnMap = TRUE,
modelName = "",
workingDir = "",
...
)
Arguments
- isPopulation
Is this a population model
TRUE
or individual modelFALSE
?- checkBaseline
Set to
TRUE
if the model contains a baseline response.- checkFractional
Set to
TRUE
to modify the default form for the model. Only applicable to models withcheckBaseline = TRUE
.- checkInhibitory
Set to
TRUE
to change the model from an Emax to an Imax model.- checkSigmoid
Set to
TRUE
to change the model to its corresponding signmoid form.- data
Input dataset
- columnMap
If
TRUE
(default) column mapping arguments are required. Set toFALSE
to manually map columns after defining model usingcolMapping
.- modelName
Model name for subdirectory created for model output in current working directory.
- workingDir
Working directory to run the model. Current working directory will be used if
workingDir
not specified.- ...
Arguments passed on to
emaxmodel_MappingParameters
ID
Column mapping argument for input dataset column(s) that identify individual data profiles. Only applicable to population models
isPopulation = TRUE
.C
Column mapping argument that represents the input dataset column for the independent variable that is treated as a covariate during the estimation/simulation process.
EObs
Column mapping argument that represents the input dataset column for the observed drug effect (i.e., the dependent variable).
Column mapping
Note that quoted and unquoted column names are supported. Please see colMapping
.
Examples
if (FALSE) { # \dontrun{
model <- emaxmodel(data = pkpdData, ID = "ID", C = "CObs", EObs = "EObs")
model <- emaxmodel(
checkBaseline = TRUE,
checkFractional = TRUE,
checkInhibitory = TRUE,
data = pkpdData,
ID = "ID",
C = "CObs",
EObs = "EObs"
)
# View PML Code
print(model)
} # }